Below shows a correlation heat-map of the submitted variables.
The following outlines the regression formula and summary of the
model fitted.
## [1] "freq ~ rank"
| Â | Dependent variable | ||||
|---|---|---|---|---|---|
| Predictors | Estimates | std. Error | CI | Statistic | p |
| (Intercept) | 7.30 | 0.07 | 7.16 – 7.44 | 104.51 | <0.001 |
| rank | -0.07 | 0.00 | -0.08 – -0.07 | -57.89 | <0.001 |
| Observations | 5644 | ||||
| R2 / R2 adjusted | 0.373 / 0.373 | ||||
| AIC | 30754.242 | ||||
The residual plots for the fitted regression model are shown
below.
The ANOVA test is used to determine if there is a statistically significant difference between the means of three or more independent groups. ANOVA test results for the fitted model are shown below.
## ANOVA Table (type II tests)
##
## Effect DFn DFd F p p<.05 ges
## 1 rank 1 5642 3351.501 0 * 0.373
A t-test is a statistical test used to determine if their is a significant difference in the means of two independent groups being compared. The results of the t-test for the fitted model are shown below.